Javier Boncompte is an economist and systems engineer with a PhD in Economics and nine years of interdisciplinary experience at the intersection of applied industrial organization, data science, and public policy. He currently combines academic research at UCL and the Institute for Fiscal Studies with industry leadership as Data Science Lead at Tottus, where his models and automations increased incremental sales by 7.5% and shaped pricing and demand-forecasting pipelines on GCP. His background spans founding a data-driven political intelligence startup that scored 3.5M voters, advising national transport and urban projects with multi-million-dollar funding proposals, and teaching undergraduate economics. Javier brings a rare blend of rigorous causal inference and production ML know-how鈥攃omfortable moving from propensity-score econometrics to cloud deployments and dashboards. Based in London, he focuses on industrial organization and applied economics while keeping one foot in product-facing analytics and the other in rigorous research. Colleagues value his ability to translate complex models into actionable strategy across government, academia and retail.
9 years of coding experience
3 years of employment as a software developer
Master of Science (MSc) Industrial Engineering, Master of Science (MSc) Industrial Engineering at Pontificia Universidad Cat贸lica de Chile
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